Santa Fe Sales by Zip
|
ZIP
|
#
|
Mean
|
Median
|
Min
|
Q1
|
Q3
|
Max
|
Std Dev
|
|
87507
|
173
|
13333.41
|
9631.00
|
0.00
|
5293.000
|
5293.000
|
78618.99
|
11909.80106
|
|
87505
|
157
|
14387.59
|
10079.72
|
552.00
|
5619.000
|
5619.000
|
72500.00
|
12866.42060
|
|
87508
|
87
|
18009.97
|
13832.00
|
0.00
|
7180.000
|
7180.000
|
100000.00
|
16680.91371
|
|
87501
|
76
|
12129.49
|
8181.35
|
1880.00
|
4654.812
|
4654.812
|
46270.00
|
9842.43514
|
|
87506
|
29
|
18264.39
|
14251.00
|
750.00
|
7784.000
|
7784.000
|
91000.00
|
17757.92383
|
|
87502
|
2
|
11692.27
|
11692.27
|
9720.00
|
10706.135
|
10706.135
|
13664.54
|
2789.21098
|
|
87504
|
2
|
1954.50
|
1954.50
|
1887.00
|
1920.750
|
1920.750
|
2022.00
|
95.45942
|
|
87101
|
1
|
14987.87
|
14987.87
|
14987.87
|
14987.870
|
14987.870
|
14987.87
|
NA
|
|
87509
|
1
|
19156.00
|
19156.00
|
19156.00
|
19156.000
|
19156.000
|
19156.00
|
NA
|
|
87540
|
1
|
21359.91
|
21359.91
|
21359.91
|
21359.910
|
21359.910
|
21359.91
|
NA
|






Santa Fe Sales by Zip
|
ZIP
|
#
|
Mean
|
Median
|
Min
|
Q1
|
Q3
|
Max
|
Std Dev
|
|
87124
|
673
|
11079.50
|
7800.0
|
0.00
|
4800.00
|
4800.00
|
67300.00
|
10090.216
|
|
87144
|
501
|
12478.60
|
9275.0
|
0.00
|
5966.54
|
5966.54
|
66491.28
|
9824.232
|
|
87114
|
3
|
6892.66
|
8535.0
|
3485.98
|
6010.49
|
6010.49
|
8657.00
|
2950.902
|
|
87112
|
2
|
6137.50
|
6137.5
|
3690.00
|
4913.75
|
4913.75
|
8585.00
|
3461.288
|
|
87123
|
1
|
2489.00
|
2489.0
|
2489.00
|
2489.00
|
2489.00
|
2489.00
|
NA
|
|
87174
|
1
|
3265.00
|
3265.0
|
3265.00
|
3265.00
|
3265.00
|
3265.00
|
NA
|






Santa Fe Sales by Zip
|
ZIP
|
#
|
Mean
|
Median
|
Min
|
Q1
|
Q3
|
Max
|
Std Dev
|
|
87124
|
728
|
11333.223
|
8001.50
|
0
|
4905.750
|
4905.750
|
67300.00
|
10319.254
|
|
87114
|
648
|
10952.110
|
7500.00
|
0
|
4400.000
|
4400.000
|
97950.00
|
10279.760
|
|
87120
|
568
|
10771.166
|
7061.00
|
0
|
4099.500
|
4099.500
|
108227.00
|
10703.765
|
|
87111
|
517
|
11490.250
|
7397.20
|
0
|
4150.000
|
4150.000
|
64999.00
|
11283.094
|
|
87144
|
514
|
12458.411
|
9167.00
|
0
|
5916.000
|
5916.000
|
66491.28
|
9845.227
|
|
87112
|
412
|
12202.048
|
7890.50
|
0
|
4054.765
|
4054.765
|
92910.00
|
12473.986
|
|
87123
|
400
|
10779.268
|
7375.50
|
0
|
4199.769
|
4199.769
|
122703.00
|
11611.660
|
|
87109
|
304
|
11188.989
|
7434.00
|
0
|
4369.000
|
4369.000
|
70500.00
|
10429.564
|
|
87110
|
299
|
10259.729
|
6665.00
|
0
|
4176.340
|
4176.340
|
50000.00
|
9462.926
|
|
87121
|
267
|
9547.734
|
6225.00
|
0
|
3672.610
|
3672.610
|
100528.00
|
9964.211
|
|
87122
|
185
|
13033.649
|
7736.00
|
537
|
4574.000
|
4574.000
|
88906.53
|
13502.841
|
|
87113
|
144
|
10259.683
|
6856.00
|
0
|
3348.250
|
3348.250
|
53100.00
|
10090.581
|
|
87105
|
134
|
11788.881
|
7470.10
|
0
|
4706.750
|
4706.750
|
96790.00
|
12823.216
|
|
87108
|
134
|
9787.857
|
7201.50
|
0
|
3510.715
|
3510.715
|
44357.00
|
9022.012
|
|
87107
|
119
|
13893.630
|
8482.00
|
208
|
4786.450
|
4786.450
|
64950.00
|
14401.327
|
|
87106
|
95
|
8959.972
|
6417.25
|
0
|
3015.500
|
3015.500
|
47000.00
|
9384.793
|
|
87104
|
35
|
12629.045
|
8750.00
|
2711
|
4757.905
|
4757.905
|
63164.00
|
11758.349
|
|
87102
|
24
|
9834.890
|
7807.50
|
1500
|
5654.517
|
5654.517
|
38390.00
|
8016.011
|
|
87174
|
2
|
9903.500
|
9903.50
|
3265
|
6584.250
|
6584.250
|
16542.00
|
9388.257
|
|
87193
|
2
|
20251.500
|
20251.50
|
18000
|
19125.750
|
19125.750
|
22503.00
|
3184.102
|
|
87008
|
1
|
19381.000
|
19381.00
|
19381
|
19381.000
|
19381.000
|
19381.00
|
NA
|
|
87035
|
1
|
5464.000
|
5464.00
|
5464
|
5464.000
|
5464.000
|
5464.00
|
NA
|
|
87103
|
1
|
4440.000
|
4440.00
|
4440
|
4440.000
|
4440.000
|
4440.00
|
NA
|
|
87118
|
1
|
10400.000
|
10400.00
|
10400
|
10400.000
|
10400.000
|
10400.00
|
NA
|
|
87125
|
1
|
32461.000
|
32461.00
|
32461
|
32461.000
|
32461.000
|
32461.00
|
NA
|
|
87501
|
1
|
20000.000
|
20000.00
|
20000
|
20000.000
|
20000.000
|
20000.00
|
NA
|
|
87527
|
1
|
16970.000
|
16970.00
|
16970
|
16970.000
|
16970.000
|
16970.00
|
NA
|






## Loading required package: lattice
## Loading required package: grid
## Loading required package: chron







## `geom_smooth()` using formula = 'y ~ x'

##
## To cite package 'ggmap' in publications use:
##
## D. Kahle and H. Wickham. ggmap: Spatial Visualization with ggplot2.
## The R Journal, 5(1), 144-161. URL
## http://journal.r-project.org/archive/2013-1/kahle-wickham.pdf
##
## A BibTeX entry for LaTeX users is
##
## @Article{,
## author = {David Kahle and Hadley Wickham},
## title = {ggmap: Spatial Visualization with ggplot2},
## journal = {The R Journal},
## year = {2013},
## volume = {5},
## number = {1},
## pages = {144--161},
## url = {https://journal.r-project.org/archive/2013-1/kahle-wickham.pdf},
## }
## R version 4.2.2 (2022-10-31 ucrt)
## Platform: x86_64-w64-mingw32/x64 (64-bit)
## Running under: Windows 10 x64 (build 19045)
##
## Matrix products: default
##
## locale:
## [1] LC_COLLATE=English_United States.utf8
## [2] LC_CTYPE=English_United States.utf8
## [3] LC_MONETARY=English_United States.utf8
## [4] LC_NUMERIC=C
## [5] LC_TIME=English_United States.utf8
##
## attached base packages:
## [1] grid stats graphics grDevices utils datasets methods
## [8] base
##
## other attached packages:
## [1] lattice_0.20-45 RColorBrewer_1.1-3 psych_2.3.3
## [4] vtable_1.4.4 kableExtra_1.3.4 lubridate_1.9.2
## [7] ggmap_3.0.2 rgdal_1.6-7 maptools_1.1-7
## [10] sp_1.6-1 usmap_0.6.2 ggpointdensity_0.1.0
## [13] viridis_0.6.3 viridisLite_0.4.2 tidyr_1.3.0
## [16] stringr_1.5.0 dplyr_1.1.2 readxl_1.4.2
## [19] tidygeocoder_1.0.5 ggplot2_3.4.2
##
## loaded via a namespace (and not attached):
## [1] httr_1.4.6 sass_0.4.6 splines_4.2.2
## [4] jsonlite_1.8.5 bslib_0.5.0 highr_0.10
## [7] cellranger_1.1.0 yaml_2.3.7 pillar_1.9.0
## [10] glue_1.6.2 digest_0.6.31 rvest_1.0.3
## [13] colorspace_2.1-0 Matrix_1.5-1 htmltools_0.5.5
## [16] plyr_1.8.8 pkgconfig_2.0.3 purrr_1.0.1
## [19] scales_1.2.1 webshot_0.5.4 svglite_2.1.1
## [22] jpeg_0.1-10 timechange_0.2.0 tibble_3.2.1
## [25] mgcv_1.8-41 generics_0.1.3 farver_2.1.1
## [28] cachem_1.0.8 withr_2.5.0 cli_3.6.1
## [31] mnormt_2.1.1 magrittr_2.0.3 evaluate_0.21
## [34] fansi_1.0.4 nlme_3.1-160 xml2_1.3.4
## [37] foreign_0.8-83 tools_4.2.2 RgoogleMaps_1.4.5.3
## [40] lifecycle_1.0.3 munsell_0.5.0 compiler_4.2.2
## [43] jquerylib_0.1.4 systemfonts_1.0.4 rlang_1.1.1
## [46] rstudioapi_0.14 bitops_1.0-7 labeling_0.4.2
## [49] rmarkdown_2.22 gtable_0.3.3 R6_2.5.1
## [52] gridExtra_2.3 knitr_1.43 fastmap_1.1.1
## [55] utf8_1.2.3 stringi_1.7.12 parallel_4.2.2
## [58] Rcpp_1.0.10 vctrs_0.6.2 png_0.1-8
## [61] tidyselect_1.2.0 xfun_0.39